Xenoss is a software development house solving complex big data, AI and high-load problems. We build high-load multi-user software, AI-powered systems, data mining and big data solutions. We do hard-core programming.
31 серпня 2021

AI/ML Computer Vision Engineer | Creative analytics platform (вакансія неактивна)

Київ, Харків, Львів, Дніпро, Одеса, Вінниця, Чернігів, Житомир, Рівне, Ужгород, Чернівці, віддалено

Must-have skills

— Strong understanding of data structures & algorithms
— Proficiency in Python (or JS)
— Experience of building applications/services based on open source ML models
— Goal orientation & Problem-solving
— Working proficiency in English

Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one.

Nice-to-have skills

— React.js

What will be your goal

Your goal will be to develop solutions for video content analysis that are based on Computer Vision AI technologies

What you will do

— You’ll be working in one of the cross-functional product development squads of an international startup
— You’ll be researching, testing and improving an open-source ML/AI solutions for video processing (including object detection, object tracking, audio analysis, text analysis, emotional analysis)
— You’ll be transforming product requirements into reliable, scalable and maintainable solution.

What you get

— Teams of people who love programming
— Complex technical challenges with big data/AI/high load
— Freedom to make your own engineering decisions and broad space for creativity
— Modern technology stack to work with
— Work remotely or from the office options on a flexible schedule
— Long-lasting projects
— Financial compensation for professional events and education
— Opportunity to choose the equipment you like
— Above-market compensation


An international startup company with headquarters in London and several offices across Europe. Their investors are founders of WhatApp, Playrix, and Nekki.


The product is an AI solution designed to analyze and predict how the particular visual elements of a marketing communication influence user behavior. The system analyzes images and video streams to recognize the specific elements represented within these visual materials and determine their correlation with the campaign outcome.